Software Engineering Manager - Platform Team

DataVisor; Mountain View (CA); On-site; USD 180,000 - 350,000; Full time

Job summary

DataVisor is seeking a Software Engineering Manager to lead the Platform Engineering team building the AI-based fraud and risk decision platform at enterprise scale.

You will manage engineers, contribute to design, and help deliver real-time and batch decisioning while advancing AI methods across production systems.

This on-site role in Mountain View offers a path to senior technical leadership at a fast-growing SaaS company leveraging big data tech.

Qualifications

• BS in CS or related field required; MS/PhD preferred.
• 8+ years of software development experience.
• 3+ years of experience leading or managing teams.
• Fluent in Java or C++, with Python knowledge; hands-on in coding, system design, and architecture.
• Familiar with SQL, ORM frameworks (JPA, Hibernate).
• Experience with big data technologies (Cassandra, Flink, Spark, Kafka).
• Knowledge of Spring Framework is a plus.
• Exposure to test-driven development and high-quality engineering practices.
• Excellent oral and written communication skills.
• Strong team spirit and collaboration mindset.

Responsibilities

• Design & Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform.
• Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.
• Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention.
• Scale Infrastructure: Build and optimise distributed, real-time data systems for low-latency decisioning.
• Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines.
• Lead & Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development.

Skills

Java/C++ programming

Python

SQL

Big data technologies

Spring Framework

Test-driven development

Communication

Collaboration

AI/ML concepts

Education

BS in Computer Science or related field

MS/PhD preferred

Tools

Cassandra

Flink

Spark

Kafka

Job description

DataVisor is a next-generation SaaS company that protects the world’s largest enterprises from fraud and money laundering. Our award-winning AI decision platform combines industry-leading unsupervised machine learning (UML) with advanced supervised models to stop fraudulent activity across financial transactions, mobile growth, social networks, and e-commerce.

We partner with leading global brands, delivering solutions built on top of our highly scalable platform. Behind these innovations is a world-class team of experts in big data, security, and distributed infrastructure, thriving in a culture that is open, collaborative, and results-driven.

Join us and help push the boundaries of what’s possible in fraud detection.

Role Summary

We are seeking a Software Engineering Manager to lead our Platform Engineering team. This team is at the heart of DataVisor’s detection capabilities, building the AI-based fraud and risk decision platform that powers real-time and batch unified decisioning at enterprise scale.

You will manage a talented team of engineers while also contributing to the design and development of our next-generation AI agent driven infrastructure. Together, you’ll enable our customers to detect and stop complex fraud patterns in real time.

What You’ll Do

• Design & Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform.
• Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.
• Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention.
• Scale Infrastructure: Build and optimise distributed, real-time data systems for low-latency decisioning.
• Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines.
• Lead & Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development.

Requirements

• BS degree in Computer Science or related field required; MS/PhD preferred
• Fluent in Java or C++ programming, with knowledge of Python; hands‑on in coding, system design, and architecture
• 3+ years of experience leading or managing teams
• 8+ years of software development experience
• Solid understanding of AI/ML concepts (unsupervised, supervised, and emerging approaches such as agentic AI); experience applying ML in production systems is a strong plus
• Familiarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plus
• Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred
• Knowledge of the Spring Framework is a plus
• Exposure to test‑driven development and high‑quality engineering practices
• Excellent oral and written communication skills
• Strong team spirit and collaboration mindset

Compensation:

Annual salary range of USD $180,000 – $350,000, commensurate with experience.

Why Join Us

• Impact at Scale: Work on fraud detection systems processing billions of events daily.
• Cutting‑Edge Tech: Push the frontier in streaming, agentic AI, and big data infrastructure.
• Career Growth: Lead a high‑impact team with opportunities to shape technical direction and grow into senior leadership.